TY - GEN
T1 - Land cover classification using multitemporal chris/proba imagesand multitemporal texture
AU - Jin, Huiran
AU - Li, Peijun
AU - Fan, Wenjie
PY - 2008/12/1
Y1 - 2008/12/1
N2 - Most existing multitemporal classification researches use spectral information alone. However, adding spatial structure and temporal correlation in the classification could improve the classification accuracy. This paper proposed a new method to extract multitemporal texture by the Pseudo Cross Variogram (PCV). The derived texture features were combined with the original spectral information for multitemporal classification. The performance of the proposed multitemporal texture was evaluated in land cover classification using bi-temporal hyperspectral CHRIS/PRBOA images. The experiments showed that CHIRS/PROBA data is applicable in multitemporal classification, and including multitemporal texture in multitemporal classification could lead to a significant increase in overall classification accuracy, compared to the classification using spectral information alone.
AB - Most existing multitemporal classification researches use spectral information alone. However, adding spatial structure and temporal correlation in the classification could improve the classification accuracy. This paper proposed a new method to extract multitemporal texture by the Pseudo Cross Variogram (PCV). The derived texture features were combined with the original spectral information for multitemporal classification. The performance of the proposed multitemporal texture was evaluated in land cover classification using bi-temporal hyperspectral CHRIS/PRBOA images. The experiments showed that CHIRS/PROBA data is applicable in multitemporal classification, and including multitemporal texture in multitemporal classification could lead to a significant increase in overall classification accuracy, compared to the classification using spectral information alone.
KW - CHRIS
KW - Multitemporal classification
KW - Multitemporal texture
KW - Pseudo-cross variogram
UR - http://www.scopus.com/inward/record.url?scp=67649790265&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67649790265&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2008.4779829
DO - 10.1109/IGARSS.2008.4779829
M3 - Conference contribution
AN - SCOPUS:67649790265
SN - 9781424428083
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - IV742-IV745
BT - 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
T2 - 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
Y2 - 6 July 2008 through 11 July 2008
ER -